scholarly journals Body mass index in women aged 18 to 45 and subsequent risk of heart failure

2019 ◽  
Vol 27 (11) ◽  
pp. 1165-1174
Author(s):  
Lena Björck ◽  
Christina Lundberg ◽  
Maria Schaufelberger ◽  
Lauren Lissner ◽  
Martin Adiels ◽  
...  
Keyword(s):  
Heart Failure ◽  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Body Weight ◽  
Cohort Study ◽  
Body Mass ◽  
Medical Birth Register ◽  
Unit Increase ◽  
The Relationship ◽  
Subsequent Risk

Background The incidence of heart failure (HF) is decreasing in older ages, but increasing rates have been observed among younger persons in Sweden. Therefore, we investigated the relationship between risk of hospitalization for HF and body mass index (BMI). Methods This was a prospective registry-based cohort study. We included 1,374,031 women aged 18–45 years (mean age 27.9 years) who gave birth during 1982–2014, and were registered in the Medical Birth Register. Information on hospitalization because of HF was collected through linkage to the National Inpatient Register. Results Compared to women with a BMI of 20–<22.5 kg/m2, women with a BMI of 22.5–<25.0 had a hazard ratio (HR) of 1.24 (95% confidence interval (CI), 1.10–1.39) for HF after adjustment for age, year, parity, baseline disorders, smoking, and education. The HR (95% CI) increased to 1.56 (1.36–1.78), 2.39 (2.05–2.78), 2.82 (2.43–3.28), and 4.51 (3.63–5.61) in women with a BMI of 25–<27.5, 27.5–<30, 30–<35, and ≥35 kg/m2, respectively. The multiple-adjusted HRs (95% CI) associated with risk of HF per one-unit increase in BMI in women with a BMI ≥ 22.5 kg/m2 ranged from 1.01 (0.97–1.06) for HF related to valvular disease to 1.14 (1.12–1.15) for coronary heart disease, diabetes, or hypertension. Conclusion Increasing body weight was strongly associated with the risk of early HF in women. Compared with lean women, the risk for HF started to increase at high-normal BMI levels, and was nearly five-fold in women with a BMI ≥ 35 kg/m2.

scholarly journals The Relationship of Dehydration and Body Mass Index With the Occurrence of Atrial Fibrillation in Heart Failure Patients

2021 ◽  
Vol 8 ◽  
Author(s):  
Anna Chuda ◽  
Marcin Kaszkowiak ◽  
Maciej Banach ◽  
Marek Maciejewski ◽  
Agata Bielecka-Dabrowa
Keyword(s):  
Heart Failure ◽  
Atrial Fibrillation ◽  
Body Mass Index ◽  
Body Mass ◽  
Volume Index ◽  
Mass Analysis ◽  
Peak Vo2 ◽  
Unit Increase ◽  
Relationship Of ◽  
The Relationship

Purpose: The aim of the study was to assess the relationship of dehydration, body mass index (BMI) and other indices with the occurrence of atrial fibrillation (AF) in heart failure (HF) patients.Methods: The study included 113 patients [median age 64 years; 57.52% male] hospitalized due to HF. Baseline demographics, body mass analysis, echocardiographic results, key cardiopulmonary exercise test (CPET) parameters, 6 min walk distance (6MWD) and Kansas City Cardiomyopathy Questionnaire (KCCQ) score were assessed.Results: Of all patients, 23 (20.35%) had AF, and 90 (79.65%) had sinus rhythm (SR). Patients with AF were older (med. 66 vs. 64 years; p = 0.039), with higher BMI (32.02 vs. 28.51 kg/m2; p = 0.017) and percentage of fat content (37.0 vs. 27.9%, p = 0.014). They were more dehydrated, with a lower percentage of total body water (TBW%) (45.7 vs. 50.0%; p = 0.022). Clinically, patients with AF had more often higher New York Heart Association (NYHA) class (III vs. II; p &lt; 0.001), shorter 6MWD (median 292.35 vs. 378.4 m; p = 0.001) and a lower KCCQ overall summary score (52.60 vs. 73.96 points; p = 0.002). Patients with AF had significantly lower exercise capacity as measured by peak oxygen consumption (peak VO2) (0.92 vs. 1.26 mL/min, p = 0.016), peak VO2/kg (11 vs. 15 mL/kg/min; p &lt; 0.001), and percentage of predicted VO2max (pp-peak VO2) (62.5 vs 70.0; p=0.010). We also found VE/VCO2 (med. 33.85 vs. 32.20; p = 0.049) to be higher and peak oxygen pulse (8.5 vs. 11 mL/beat; p = 0.038) to be lower in patients with AF than in patients without AF. In a multiple logistic regression model higher BMI (OR 1.23 per unit increase, p &lt; 0.001) and higher left atrial volume index (LAVI) (OR 1.07 per unit increase, p = 0.03), lower tricuspid annular plane systolic excursion (TAPSE) (OR 0.74 per unit increase, p =0.03) and lower TBW% in body mass analysis (OR 0.90 per unit increase, p =0.03) were independently related to AF in patients with HF.Conclusion: Increased volume of left atrium and right ventricular systolic dysfunction are well-known predictors of AF occurrence in patients with HF, but hydration status and increased body mass also seem to be important factors of AF in HF patients.

The Correlation Between Body Weight and Intraocular Pressure

2021 ◽  
Vol 92 (11) ◽  
pp. 886-897
Author(s):  
Shawn Khan ◽  
Abirami Kirubarajan ◽  
Michael Lee ◽  
Ian Pitha ◽  
Jay C. Buckey
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Intraocular Pressure ◽  
Body Mass ◽  
Data Extraction ◽  
Strong Predictor ◽  
Unit Increase ◽  
Obesity Indices ◽  
The Relationship ◽  
Visual Changes

INTRODUCTION: Preflight body weight is a strong predictor of visual changes in spaceflight. To understand the effect of body weight on the eye, we examined the effect of increased body mass index on intraocular pressure on Earth.METHODS: We conducted a systematic review to summarize the relationship between weight parameters (including body mass index (BMI) and obesity indices), and intraocular pressure (IOP). Study selection and data extraction were performed in duplicate using EMBASE, MEDLINE, and CENTRAL, from database inception to the second week of April 2020.RESULTS: A total of 66 individual studies were included for qualitative analysis from the 1364 studies eligible for title and abstract screening. A total of 39 studies were available for quantitative analysis. The average BMI was 25.9 (range, 20.148.8) and the average IOP was 14.9 mmHg (range, 11.627.8). The overall pooled RR between BMI and elevated intraocular pressure (IOP) was 1.06 (95 CI%, 1.041.07), meaning for each unit increase in BMI one is 6 more likely of having higher IOP than baseline. Two studies assessed the effects of bariatric surgery, and both showed significant decreases in IOP postoperatively.CONCLUSION: A higher BMI was associated with increased IOP in ground-based studies. IOP also decreased with weight loss. These data support the idea that alterations in body weight affect intraocular pressures. Further research is needed to understand the relationship between body weight, IOP, and microgravity-induced visual changes. This finding may also be useful clinically.Khan S, Kirubarajan A, Lee M, Pitha I, Buckey JC Jr. The correlation between body weight and intraocular pressure. Aerosp Med Hum Perform. 2021; 92(11):886-897.

scholarly journals Long-term body mass index changes in overweight and obese adults and the risk of heart failure, cardiovascular disease and mortality: a cohort study of over 260,000 adults in the UK

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Barbara Iyen ◽  
Stephen Weng ◽  
Yana Vinogradova ◽  
Ralph K. Akyea ◽  
Nadeem Qureshi ◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Body Mass Index ◽  
Cohort Study ◽  
Body Mass ◽  
World Health ◽  
Obese Adults ◽  
Bmi Trajectories ◽  
The Impact

Abstract Background Although obesity is a well-recognised risk factor for cardiovascular disease (CVD), the impact of long-term body mass index (BMI) changes in overweight or obese adults, on the risk of heart failure, CVD and mortality has not been quantified. Methods This population-based cohort study used routine UK primary care electronic health data linked to secondary care and death-registry records. We identified adults who were overweight or obese, free from CVD and who had repeated BMI measures. Using group-based trajectory modelling, we examined the BMI trajectories of these individuals and then determined incidence rates of CVD, heart failure and mortality associated with the different trajectories. Cox-proportional hazards regression determined hazards ratios for incident outcomes. Results 264,230 individuals (mean age 49.5 years (SD 12.7) and mean BMI 33.8 kg/m2 (SD 6.1)) were followed-up for a median duration of 10.9 years. Four BMI trajectories were identified, corresponding at baseline, with World Health Organisation BMI classifications for overweight, class-1, class-2 and class-3 obesity respectively. In all four groups, there was a small, stable upwards trajectory in BMI (mean BMI increase of 1.06 kg/m2 (± 3.8)). Compared with overweight individuals, class-3 obese individuals had hazards ratios (HR) of 3.26 (95% CI 2.98–3.57) for heart failure, HR of 2.72 (2.58–2.87) for all-cause mortality and HR of 3.31 (2.84–3.86) for CVD-related mortality, after adjusting for baseline demographic and cardiovascular risk factors. Conclusion The majority of adults who are overweight or obese retain their degree of overweight or obesity over the long term. Individuals with stable severe obesity experience the worst heart failure, CVD and mortality outcomes. These findings highlight the high cardiovascular toll exacted by continuing failure to tackle obesity.

scholarly journals Paternal body mass index before conception associated with offspring's birth weight in Chinese population: a prospective study

2021 ◽  
Author(s):  
Renying Xu ◽  
Weixiu Zhao ◽  
Tao Tan ◽  
Haojie Li ◽  
Yanping Wan
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Birth Weight ◽  
Body Mass ◽  
Sensitivity Analyses ◽  
Gestational Weight ◽  
A Prospective Study ◽  
The Relationship ◽  
Multivariable Adjustment ◽  
Chinese Mother

Whether paternal epigenetic information of nutrition might be inherited by their offspring remained unknown. evaluate the relationship between preconception paternal body weight and their offspring's birth weight in 1,810 Chinese mother-father-baby trios. Information on paternal and maternal preconception body weight and height was collected via a self-reported questionnaire. Birth weight was collected from medical records. Paternal preconception body weight was associated with offspring's birth weight (p trend=0.02) after multivariable adjustment. Each standard deviation increment of paternal body mass index was associated with an additional 29.6 g increase of birth weight (95% confident interval: 5.7g, 53.5g). The association was more pronounced in male neonates, and neonates with overweight mothers, and with mothers who gained excessive gestational weight, compared to their counterparts (all p interaction<0.05). Sensitivity analyses showed similar pattern to that of the main analysis. Paternal preconception body weight was associated with birth weight of their offspring.

scholarly journals A Bayesian Sensitivity Analysis to Partition Body Mass Index Into Components of Body Composition: An Application to Head and Neck Cancer Survival

2019 ◽  
Vol 188 (11) ◽  
pp. 2031-2039
Author(s):  
Patrick T Bradshaw ◽  
Jose P Zevallos ◽  
Kathy Wisniewski ◽  
Andrew F Olshan
Keyword(s):  
Body Mass Index ◽  
Sensitivity Analysis ◽  
Body Composition ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Body Mass ◽  
Neck Cancer ◽  
Hazard Ratio ◽  
Unit Increase ◽  
The Relationship

Abstract Previous studies have suggested a “J-shaped” relationship between body mass index (BMI, calculated as weight (kg)/height (m)2) and survival among head and neck cancer (HNC) patients. However, BMI is a vague measure of body composition. To provide greater resolution, we used Bayesian sensitivity analysis, informed by external data, to model the relationship between predicted fat mass index (FMI, adipose tissue (kg)/height (m)2), lean mass index (LMI, lean tissue (kg)/height (m)2), and survival. We estimated posterior median hazard ratios and 95% credible intervals for the BMI-mortality relationship in a Bayesian framework using data from 1,180 adults in North Carolina with HNC diagnosed between 2002 and 2006. Risk factors were assessed by interview shortly after diagnosis and vital status through 2013 via the National Death Index. The relationship between BMI and all-cause mortality was convex, with a nadir at 28.6, with greater risk observed throughout the normal weight range. The sensitivity analysis indicated that this was consistent with opposing increases in risk with FMI (per unit increase, hazard ratio = 1.04 (1.00, 1.08)) and decreases with LMI (per unit increase, hazard ratio = 0.90 (0.85, 0.95)). Patterns were similar for HNC-specific mortality but associations were stronger. Measures of body composition, rather than BMI, should be considered in relation to mortality risk.

Impact of body mass index and body weight variabilities on mortality: a nationwide cohort study

2018 ◽  
Vol 43 (2) ◽  
pp. 412-423 ◽  
Author(s):  
Ga Eun Nam ◽  
Kyung Hwan Cho ◽  
Kyungdo Han ◽  
Byoungduck Han ◽  
Sung Jung Cho ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Cohort Study ◽  
Body Mass

Negative Interaction and Body Weight in Later Life

1997 ◽  
Vol 45 (4) ◽  
pp. 305-321 ◽  
Author(s):  
Neal Krause ◽  
Estina Thompson
Keyword(s):  
Older Adults ◽  
Body Mass Index ◽  
Body Weight ◽  
Body Mass ◽  
Elderly Women ◽  
Later Life ◽  
Older Men ◽  
Negative Interaction ◽  
Individual Variations ◽  
The Relationship

This study assesses the relationship between negative interaction and body mass index values among older adults. Throughout, an emphasis is placed on probing for individual differences in response to unpleasant encounters with significant others. Individual variations in personality (introversion-extraversion) as well as social status (gender) are evaluated within this context. Tests of the complex three-way interaction between negative interaction, gender, and introversion reveal that more negative interaction is associated with higher body mass index values among elderly women who are introverted. In contrast, a significant relationship between negative interaction, introversion, and body mass failed to emerge for older men.

scholarly journals The Relationship between Body Mass Index and Thyroid Cancer Pathology Features and Outcomes: A Clinicopathological Cohort Study

2010 ◽  
Vol 95 (9) ◽  
pp. 4244-4250 ◽  
Author(s):  
John E. Paes ◽  
Keding Hua ◽  
Rebecca Nagy ◽  
Richard T. Kloos ◽  
David Jarjoura ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Cohort Study ◽  
Thyroid Cancer ◽  
Body Mass ◽  
Cancer Pathology ◽  
The Relationship
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